automata

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false

A Turing machine can be used to solve any holding problems

false

a language is recursively enumerable if and only there exist a finite automation that, when given an input, can eventually generate all strings belonging to on its execution.

true

a non-deterministic finite automata can have multiple transitions from a state for a given input symbol, allowing for more than one possible computation paths.

true

alan turing conceived the first "infinite" (or unbounded) model of computation

true

automata theory is the basis for the theory of formal languages

false

charles babbage extended the automata theory idea of complexity hierarchy, which led to the concept of formal grammar.

type 0

chomsky hierarchy generated by a turing machine

type 3

chomsky hierarchy that can be recognize by finite automata

type 1

chomsky hierarchy that refers to context sensitive languages

type 3

chomsky hierarchy that represents languages with straightforward, repetitive patterns and limited complexity

true

context free languages are a higher level of formal language complexity compared to regular languages

true

context free languages are widely used in the field of formal languages, parsing algorithms, and compiler design to analyze and generate syntactic structures

true

despite the non-determinism, nfas and dfas are equivalent in terms of language recognition

true

finite state machines are ideal computation models for a small amount of memory, and do not maintain memory.

true

in dfa, there is exactly one transition from each state for each symbol in the input alphabet

false

languages cannot be defined by any kind of automation

true

push down automata is an extension of finite automata that incorporates a stack, a data structure that allows for memory beyond what is available in a finite automation

true

regular language can be recognizes and described using finite automata

true

regular languages are the simplest type of formal language

Type 3

they are generated by regular grammars

true

turing machines are used to formalize the notion of an algorithm and provide a theoretical framework for studying the properties of computation.

true

Every NFA can be converted to DFAs

false (not all)

Every context-sensitive language is also a recursive enumerable language

false

NFAs are more powerful than Deterministic DFAs

false

Nfa can be used to recognize any non-regular language

true

The set of all the programming languages is in the Chomsky hierarchy


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